Minimax-regret preference elicitation allows intelligent decisions to be made on behalf of people facing risky choices. Standard gamble queries, a vital tool in this type of prefe...
This paper analyzes the worst-case efficiency ratio of falsename-proof combinatorial auction mechanisms. False-nameproofness generalizes strategy-proofness by assuming that a bidd...
Atsushi Iwasaki, Vincent Conitzer, Yoshifusa Omori...
Establishing trust amongst agents is of central importance to the development of well-functioning multi-agent systems. For example, the anonymity of transactions on the Internet c...
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
We propose Path Disruption Games (PDGs), which consider collaboration between agents attempting stop an adversary from travelling from a source node to a target node in a graph. P...